噪声对气枪信号叠加效果的影响及自动数据筛选方法

摘要

In order to eliminate the influence of small seismic events and strong noise for the stacking effect of airgun signal,we propose a new method based on noise characteristics—Root Mean Square (RMS) screening method.It chooses the signal noise level as screeing criteria to remove the strong noise signal and is embedded in the automatic processing of massive airgun data.Practical application results show that the results of RMS screened linear and time-frequency domain phase weighted stacking are better than that of the conventional linear and phase weighted stacking method.Thereby it can increase the distance stations of weak signal detection effect and is of great significance to a series of subsequent researches on airgun signals.%为剔除小地震信号和强噪声对气枪信号叠加效果的影响,提出了一种利用信号记录中噪声特征的主动源数据筛选方法——RMS筛选法,服务于气枪数据的自动化处理.实际气枪数据筛选结果表明,RMS筛选法采用信号噪声水平作为信号选择标准,可以有效去除高噪声信号,其线性和相位加权叠加结果优于常规线性叠加和常规相位加权结果,噪声得到压制,远距离台站微弱信号检测效果得以增强.